Coding · OpenAI

GPT-4.1 Reasoning on HumanEval: score, rank and what it means

GPT-4.1 Reasoning scores 88.8 on HumanEval, placing it #60 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
88.8
0–100 scale
Rank
#60
of 600
Percentile
90th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
8.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with GPT-4.1 Reasoning highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, GPT-4.1 Reasoning sits at #60 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 8.0 points. The median model in this index scores 77.4, which puts GPT-4.1 Reasoning above the midpoint.

OpenAI models average 87.6 on this benchmark. GPT-4.1 Reasoning is 1.2 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 90.8. GPT-4.1 Reasoning is 2.0 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 88.8 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $16.97 per million input tokens, GPT-4.1 Reasoning is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o4 OpenAI 2000000 $17.74 85.4
Claude 3.7 Sonnet Reasoning Anthropic 128000 $16.30 83.7
o4 Vision OpenAI 200000 $17.01 84.5
GPT-4.1 Max OpenAI 400000 $17.34 84.7
GPT-4.1 Reasoning OpenAI 1000000 $16.97 83.8
Claude Haiku 4.5 Reasoning Anthropic 128000 $15.11 81.4
Mistral Large 3 Mistral AI 128000 $5.41 81.7

Other benchmarks for GPT-4.1 Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 87.3 27 96th
GPQA Diamond 77.8 90 85th
SWE-bench Verified 73.1 63 90th
MATH-500 89.1 57 91th
AIME 2025 82.1 64 89th
LiveCodeBench 80.5 39 94th
IFEval 91.6 42 93th
TruthfulQA 84.3 79 87th
HellaSwag 89.4 103 83th
MMMU 77.5 105 83th
Arena Elo 1466.7 41 93th

FAQ

What score does GPT-4.1 Reasoning get on HumanEval?

GPT-4.1 Reasoning scores 88.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does GPT-4.1 Reasoning rank on HumanEval?

It ranks #60 of 600 models, in the 90th percentile. The leader is GPT-5.2 Pro at 96.8.

Is GPT-4.1 Reasoning good at HumanEval?

Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.

How is the HumanEval score calculated?

HumanEval is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does GPT-4.1 Reasoning cost?

GPT-4.1 Reasoning costs $16.97 per million input tokens and $82.05 per million output tokens.

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